from gensim.models import word2vec

s1 = ['今天', '天气', '真好']
s2 = ['今天', '天气', '很好']
seqs = [s1, s2]

model = word2vec.Word2Vec(seqs, size=10, min_count=1)
print(model.wv.most_similar('真好', topn=3))
